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Update version and README (#10091)
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docs/en/get_started.md

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@@ -44,7 +44,7 @@ We recommend that users follow our best practices to install MMDetection. Howeve
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```shell
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pip install -U openmim
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mim install mmengine
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mim install "mmcv>=2.0.0rc1"
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mim install "mmcv>=2.0.0"
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```
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**Note:** In MMCV-v2.x, `mmcv-full` is rename to `mmcv`, if you want to install `mmcv` without CUDA ops, you can use `mim install "mmcv-lite>=2.0.0rc1"` to install the lite version.
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For example, the following command installs MMCV built for PyTorch 1.12.x and CUDA 11.6.
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```shell
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pip install "mmcv>=2.0.0rc1" -f https://download.openmmlab.com/mmcv/dist/cu116/torch1.12.0/index.html
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pip install "mmcv>=2.0.0" -f https://download.openmmlab.com/mmcv/dist/cu116/torch1.12.0/index.html
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```
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#### Install on CPU-only platforms
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```shell
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!pip3 install openmim
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!mim install mmengine
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!mim install "mmcv>=2.0.0rc1,<2.1.0"
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!mim install "mmcv>=2.0.0,<2.1.0"
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```
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**Step 2.** Install MMDetection from the source.
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```python
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import mmdet
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print(mmdet.__version__)
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# Example output: 3.0.0rc0, or an another version.
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# Example output: 3.0.0, or an another version.
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```
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```{note}

docs/en/notes/faq.md

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@@ -46,8 +46,8 @@ Compatible MMDetection, MMEngine, and MMCV versions are shown as below. Please c
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| MMDetection version | MMCV version | MMEngine version |
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| :-----------------: | :---------------------: | :----------------------: |
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| main | mmcv>=2.0.0rc4, \<2.1.0 | mmengine>=0.7.1, \<1.0.0 |
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| 3.x | mmcv>=2.0.0rc4, \<2.1.0 | mmengine>=0.7.1, \<1.0.0 |
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| main | mmcv>=2.0.0, \<2.1.0 | mmengine>=0.7.1, \<1.0.0 |
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| 3.x | mmcv>=2.0.0, \<2.1.0 | mmengine>=0.7.1, \<1.0.0 |
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| 3.0.0rc6 | mmcv>=2.0.0rc4, \<2.1.0 | mmengine>=0.6.0, \<1.0.0 |
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| 3.0.0rc5 | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
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| 3.0.0rc4 | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |

docs/en/user_guides/label_studio.md

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```shell
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pip install -U openmim
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mim install "mmcv>=2.0.0rc0"
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mim install "mmcv>=2.0.0"
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# Installing mmcv will automatically install mmengine
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```
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docs/zh_cn/get_started.md

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@@ -44,7 +44,7 @@ conda install pytorch torchvision cpuonly -c pytorch
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```shell
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pip install -U openmim
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mim install mmengine
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mim install "mmcv>=2.0.0rc1"
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mim install "mmcv>=2.0.0"
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```
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**注意:** 在 MMCV-v2.x 中,`mmcv-full` 改名为 `mmcv`,如果你想安装不包含 CUDA 算子精简版,可以通过 `mim install "mmcv-lite>=2.0.0rc1"` 来安装。
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例如,下述命令将会安装基于 PyTorch 1.12.x 和 CUDA 11.6 编译的 MMCV。
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```shell
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pip install "mmcv>=2.0.0rc1" -f https://download.openmmlab.com/mmcv/dist/cu116/torch1.12.0/index.html
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pip install "mmcv>=2.0.0" -f https://download.openmmlab.com/mmcv/dist/cu116/torch1.12.0/index.html
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```
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#### 在 CPU 环境中安装
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```shell
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!pip3 install openmim
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!mim install mmengine
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!mim install "mmcv>=2.0.0rc1,<2.1.0"
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!mim install "mmcv>=2.0.0,<2.1.0"
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```
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**步骤 2.** 使用源码安装 MMDetection。
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```python
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import mmdet
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print(mmdet.__version__)
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# 预期输出:3.0.0rc0 或其他版本号
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# 预期输出:3.0.0 或其他版本号
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```
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```{note}

docs/zh_cn/notes/faq.md

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| MMDetection 版本 | MMCV 版本 | MMEngine 版本 |
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| :--------------: | :---------------------: | :----------------------: |
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| main | mmcv>=2.0.0rc4, \<2.1.0 | mmengine>=0.7.1, \<1.0.0 |
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| 3.x | mmcv>=2.0.0rc4, \<2.1.0 | mmengine>=0.7.1, \<1.0.0 |
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| main | mmcv>=2.0.0, \<2.1.0 | mmengine>=0.7.1, \<1.0.0 |
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| 3.x | mmcv>=2.0.0, \<2.1.0 | mmengine>=0.7.1, \<1.0.0 |
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| 3.0.0rc6 | mmcv>=2.0.0rc4, \<2.1.0 | mmengine>=0.6.0, \<1.0.0 |
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| 3.0.0rc5 | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
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| 3.0.0rc4 | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |

docs/zh_cn/user_guides/label_studio.md

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```shell
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pip install -U openmim
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mim install "mmcv>=2.0.0rc0"
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mim install "mmcv>=2.0.0"
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# 安装 mmcv 的过程中会自动安装 mmengine
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```
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